Fuzzy Logic for Image Processing A Gentle Introduction Using Java /

This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches app...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Caponetti, Laura (Συγγραφέας), Castellano, Giovanna (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:SpringerBriefs in Electrical and Computer Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Caponetti, Laura.  |e author. 
245 1 0 |a Fuzzy Logic for Image Processing  |h [electronic resource] :  |b A Gentle Introduction Using Java /  |c by Laura Caponetti, Giovanna Castellano. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XIV, 138 p. 61 illus., 33 illus. in color.  |b online resource. 
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490 1 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8112 
505 0 |a Part 1. Fundamentals of Fuzzy Image Processing -- Image Representation Using Java -- Low-level Image Processing -- Basics of Fuzzy Logic -- Fuzzy Image Processing -- Java for Image Processing -- Part 2. Application to Image Processing -- Color Contrast Enhancement -- Image Segmentation -- Morphological Analysis -- Image Thresholding -- Appendix A: Java Code References. 
520 |a This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches apply. The book is divided into two parts. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering. The second part includes applications to image processing, image thresholding, color contrast enhancement, edge detection, morphological analysis, and image segmentation. Throughout, they describe image processing algorithms based on fuzzy logic under methodological aspects in addition to applicative aspects. Implementations in java are provided for the various applications. 
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650 0 |a Algorithms. 
650 0 |a Image processing. 
650 0 |a Computational intelligence. 
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650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
700 1 |a Castellano, Giovanna.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319441283 
830 0 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8112 
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950 |a Engineering (Springer-11647)